TY  - JOUR
PY  - 2013//
TI  - Security-oriented sensor placement in intelligent buildings
JO  - Building and environment
A1  - Eliades, D. G.
A1  - Michaelides, M. P.
A1  - Panayiotou, C. G.
A1  - Polycarpou, M. M.
SP  - 114
EP  - 121
VL  - 63
IS  - 
N2  - Intelligent buildings are beginning to utilize sensor networks for monitoring and protecting indoor air quality against contamination events. This paper presents a methodology for determining where to install such sensors. In particular, a multi-objective optimization problem is formulated for minimizing the sensor cost, the average and the worst-case impact damage corresponding to a set of contamination event scenarios. Each contamination scenario is comprised of parameters characterized by some given probability distribution. Based on these distributions, a set of representative contamination scenarios is constructed through grid and random sampling, and the overall impact of each scenario is computed, thus providing a solution to the sensor placement problem. The proposed methodology is illustrated by two case studies, a simple building with five rooms and a realistic building with 14 rooms.<p />
LA  - en
SN  - 0360-1323
UR  - http://dx.doi.org/10.1016/j.buildenv.2013.02.006
ID  - ref1
ER  -